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Document final endpoint policy and rejected speaker-tail pilot

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  1. README.md +20 -0
  2. USAGE.md +6 -0
  3. release_metadata.json +16 -0
README.md CHANGED
@@ -67,6 +67,21 @@ audio = model.generate(
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  sf.write("sample.wav", audio.detach().cpu().numpy(), model.sample_rate)
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  ```
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  ## Conditioning Modes
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  ```python
@@ -161,6 +176,11 @@ did not pass.
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  Numbers below are from an internal held-out evaluation set. The eval set and
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  training data are intentionally not described in this model card.
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  | Mode | Evaluation profile | CER | WER |
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  | --- | --- | ---: | ---: |
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  | centroid-only | 30 texts x 5 seeds, controlled pace | 15.37% | 41.48% |
 
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  sf.write("sample.wav", audio.detach().cpu().numpy(), model.sample_rate)
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  ```
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+ ## Interactive Demo Endpoint Profile
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+
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+ The hosted [BlueMagpie-TTS Demo](https://huggingface.co/spaces/voidful/BlueMagpie-TTS-Demo)
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+ uses the same checkpoint weights with an inference-only endpoint guard. It
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+ starts with a 0.50 stop threshold, lowers the threshold only after 75% of the
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+ native-rate duration estimate, reaches 0.05 at 95%, and accepts one stop hit.
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+ Generation is still capped at the native-rate estimate plus one latent step.
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+ Playback pace is corrected only after generation has stopped, so pace control
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+ does not hold the model open and create extra speech.
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+
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+ This interactive policy is intentionally separate from the reproducible
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+ offline evaluation default of `stop_threshold=0.65` and
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+ `stop_consecutive=2`. Neither policy uses retry selection or best-of-N
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+ reranking in its standard path.
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+
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  ## Conditioning Modes
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  ```python
 
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  Numbers below are from an internal held-out evaluation set. The eval set and
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  training data are intentionally not described in this model card.
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+ The latest residual-speaker pilot improved natural and long-form aggregate
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+ metrics, but every tested gate scale failed at least one stress endpoint,
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+ intelligibility, or speaker-boundary criterion. Its weights were not promoted;
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+ the selected model fingerprint remains unchanged.
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+
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  | Mode | Evaluation profile | CER | WER |
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  | --- | --- | ---: | ---: |
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  | centroid-only | 30 texts x 5 seeds, controlled pace | 15.37% | 41.48% |
USAGE.md CHANGED
@@ -166,6 +166,12 @@ Recommended generation defaults:
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  - `continuation-context-sec=0` until generated-context continuation passes its own gate
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  - Reference wavs used to extract speaker embeddings should be at least 3 seconds.
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  Safety:
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  - Use only rights-cleared reference audio or speaker embeddings.
 
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  - `continuation-context-sec=0` until generated-context continuation passes its own gate
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  - Reference wavs used to extract speaker embeddings should be at least 3 seconds.
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+ The hosted interactive demo uses a separate endpoint-only policy with the same
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+ weights: a 0.50 stop threshold that relaxes after 75% of the native-rate
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+ duration estimate to 0.05 at 95%, one stop hit, and a native-rate hard cap plus
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+ one latent step. It applies pace correction after generation. The offline
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+ defaults above remain the fixed evaluation contract.
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+
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  Safety:
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  - Use only rights-cleared reference audio or speaker embeddings.
release_metadata.json CHANGED
@@ -33,6 +33,22 @@
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  "speaker-reference-embedding"
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  ]
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  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "quality_rerank": {
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  "scope": [
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  "speaker-reference-embedding-short-medium"
 
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  "speaker-reference-embedding"
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  ]
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  },
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+ "interactive_demo": {
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+ "scope": [
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+ "centroid-only",
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+ "speaker-reference-embedding"
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+ ],
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+ "weight_change": false,
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+ "stop_threshold": 0.5,
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+ "stop_late_threshold": 0.05,
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+ "stop_late_start_ratio": 0.75,
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+ "stop_late_full_ratio": 0.95,
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+ "stop_consecutive": 1,
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+ "hard_stop_margin_steps": 1,
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+ "retry_badcase": false,
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+ "candidate_rerank": "none",
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+ "pace_correction": "post_generation_pitch_preserving"
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+ },
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  "quality_rerank": {
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  "scope": [
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  "speaker-reference-embedding-short-medium"